'I had to Educate Myself': A thematic analysis of online stillbirth stories to improve obstetric care.

OBJECTIVE: To examine which met and unmet needs are discussed in stillbirth stories shared on YouTube with the aim to improve obstetric care. DESIGN: Inductive thematic analysis of 19 English-language stillbirth stories uploaded to YouTube. SETTING: Online setting, YouTube video content. SAMPLE: Women who experienced stillbirth and shared a video on YouTube talking about their experience. METHODS: We conducted a thorough textual reading of the transcripts following Braun and Clarke's guidelines for thematic analysis. MAIN OUTCOME MEASURES: Codes were developed and grouped into themes. RESULTS: Although some women actively used their birth videos to call out shortcomings in their care, most others used their platform for other purposes such as destigmatisation, awareness and support, and rather unintentionally provided insight into their met and unmet needs. When analysing their birth stories, three major themes emerged: choice and decision-making, education and information, and behaviour of healthcare providers. CONCLUSIONS: This study demonstrates the value of birth stories in research. We identified three major opportunities for improvement of obstetric care: being provided with options and being able to make choices in the decision-making process are clearly valued, but there are some caveats: women and other childbearing individuals need timely and continuous information, and more attention is needed for emotional intelligence training of healthcare providers.

Trends and Inequalities in Maternal and Newborn Health Services for Unplanned Settlements of Lusaka City, Zambia.

Living conditions and other factors in urban unplanned settlements present unique challenges for improving maternal and newborn health (MNH), yet MNH inequalities associated with such challenges are not well understood. This study examined trends and inequalities in coverage of MNH services in the last 20 years in unplanned and planned settlements of Lusaka City, Zambia. Geospatial information was used to map Lusaka's settlements and health facilities. Zambia Demographic Health Surveys (ZDHS 2001, 2007, 2013/2014, and 2018) were used to compare antenatal care (ANC), institutional delivery, and Cesarean section (C-section) coverage, and neonatal mortality rates between the poorer 60% and richer 40% households. Health Management Information System (HMIS) data from 2018 to 2021 were used to compute service volumes and coverage rates for ANC1 and ANC4, and institutional delivery and C-sections by facility level and type in planned and unplanned settlements. Although the correlation is not exact, our data analysis showed close alignment; and thus, we opted to use the 60% poorer and 40% richer groups as a proxy for households in unplanned versus planned settlements. Unplanned settlements were serviced by primary centers or first-level hospitals. ZDHS findings show that by 2018, at least one ANC visit and institutional delivery became nearly universal throughout Lusaka, but early and four or more ANC visits, C-sections, and neonatal mortality rates remained worse among poorer than richer women in ZDHS. In HMIS, ANC and institutional delivery volumes were highest in public facilities, especially in unplanned settlements. The volume of C-sections was much greater within facilities in planned than unplanned settlements. Our study exposed persistent gaps in timing and use of ANC and emergency obstetric care between unplanned and planned communities. Closing such gaps requires strengthening outreach early and consistently in pregnancy and increasing emergency obstetric care capacities and referrals to improve access to important MNH services for women and newborns in Lusaka's unplanned settlements.

Barriers in utilization and provisioning of obstetric care services (OCS) in India: a mixed-methods systematic review.

BACKGROUND: Despite the reduction in the maternal mortality ratio, barriers in obstetric care services (OCS) remain a significant risk factor for adverse maternal and perinatal outcomes in India. This review covers the 'continuum of care' (ANC, child delivery, and PNC services) and identifies multiple barriers in provisioning as well as utilization of OCS in India. We conducted a systematic review to understand the barriers using a mixed-methods approach. METHODS: PubMed, Scopus, Web of Science, Google Scholar, and Science Direct databases were searched from 1 January 2000 to 30 June 2022. The methodological quality of the included studies was assessed using appropriate tools. After a full-text review of 164 studies, total of 56 studies (33 quantitative, 18 qualitative, and 5 mixed-methods studies) were finally included in the review. All the barriers were classified into five major themes: (i) individual and interpersonal barriers, (ii) social and cultural barriers, (iii) structural barriers, (iv) logistical barriers, and (v) organizational barriers. A thematic synthesis approach was used to present the findings of the included studies. RESULTS: Lack of knowledge and awareness and less family support in availing the required OCS were key individual and interpersonal barriers. Negative social and cultural practices, such as belief in traditional herbs/healers, dietary restrictions, and discarding colostrum were frequently reported barriers, especially in rural settings. Poor economic status and high health service costs were the most often cited barriers to low institutional delivery and delayed ANC services. Long distances to health facilities and poor road conditions were the most frequently reported logistical barriers. On the provisioning side, poor quality of treatment, shortage of drugs and equipment, and non-cooperative attitude of health professionals were the most significant barriers. CONCLUSION: This review identified several important barriers ranging from individual and cultural to structural, logistical, and organizational, which are prevalent in India. To mitigate the barriers, the governments need to develop strategies at the individual and organizational levels. Innovative interventions and program implementation at the community and village levels could also be contributory steps towards improving OCS utilization in India.

Investigation of statistical methods used in prognostic prediction models for obstetric care: A 10 year-span cross-sectional study.

INTRODUCTION: Obstetric care is a highly active area in the development and application of prognostic prediction models. The development and validation of these models often require the utilization of advanced statistical techniques. However, failure to adhere to rigorous methodological standards could greatly undermine the reliability and trustworthiness of the resultant models. Consequently, the aim of our study was to examine the current statistical practices employed in obstetric care and offer recommendations to enhance the utilization of statistical methods in the development of prognostic prediction models. MATERIAL AND METHODS: We conducted a cross-sectional survey using a sample of studies developing or validating prognostic prediction models for obstetric care published in a 10-year span (2011-2020). A structured questionnaire was developed to investigate the statistical issues in five domains, including model derivation (predictor selection and algorithm development), model validation (internal and external), model performance, model presentation, and risk threshold setting. On the ground of survey results and existing guidelines, a list of recommendations for statistical methods in prognostic models was developed. RESULTS: A total of 112 eligible studies were included, with 107 reporting model development and five exclusively reporting external validation. During model development, 58.9% of the studies did not include any form of validation. Of these, 46.4% used stepwise regression in a crude manner for predictor selection, while two-thirds made decisions on retaining or dropping candidate predictors solely based on p-values. Additionally, 26.2% transformed continuous predictors into categorical variables, and 80.4% did not consider nonlinear relationships between predictors and outcomes. Surprisingly, 94.4% of the studies did not examine the correlation between predictors. Moreover, 47.1% of the studies did not compare population characteristics between the development and external validation datasets, and only one-fifth evaluated both discrimination and calibration. Furthermore, 53.6% of the studies did not clearly present the model, and less than half established a risk threshold to define risk categories. In light of these findings, 10 recommendations were formulated to promote the appropriate use of statistical methods. CONCLUSIONS: The use of statistical methods is not yet optimal. Ten recommendations were offered to assist the statistical methods of prognostic prediction models in obstetric care.

Caesarean section and associated factors in Nigeria: assessing inequalities between rural and urban areas-insights from the Nigeria Demographic and Health Survey 2018.

INTRODUCTION: When medically indicated, caesarean section (CS) can be a life-saving intervention for mothers and their newborns. This study assesses the prevalence of CS and its associated factors, focussing on inequalities between rural and urban areas in Nigeria. METHODS: We disaggregated the Nigeria Demographic and Health Survey 2018 and performed analyses separately for Nigeria's overall, rural, and urban residences. We summarised data using frequency tabulations and identified factors associated with CS through multivariable logistic regression analysis. RESULTS: CS prevalence was 2.7% in Nigeria (overall), 5.2% in urban and 1.2% in rural areas. The North-West region had the lowest prevalence of 0.7%, 1.5% and 0.4% for the overall, urban and rural areas, respectively. Mothers with higher education demonstrated a greater CS prevalence of 14.0% overall, 15.3% in urban and 9.7% in rural residences. Frequent internet use increased CS prevalence nationally (14.3%) and in urban (15.1%) and rural (10.1%) residences. The southern regions showed higher CS prevalence, with the South-West leading overall (7.0%) and in rural areas (3.3%), and the South-South highest in urban areas (8.5%). Across all residences, rich wealth index, maternal age ≥ 35, lower birth order, and ≥ eight antenatal (ANC) contacts increased the odds of a CS. In rural Nigeria, husbands' education, spouses' joint healthcare decisions, birth size, and unplanned pregnancy increased CS odds. In urban Nigeria, multiple births, Christianity, frequent internet use, and ease of getting permission to visit healthcare facilities were associated with higher likelihood of CS. CONCLUSION: CS utilisation remains low in Nigeria and varies across rural-urban, regional, and socioeconomic divides. Targeted interventions are imperative for uneducated and socioeconomically disadvantaged mothers across all regions, as well as for mothers in urban areas who adhere to Islam, traditional, or 'other' religions. Comprehensive intervention measures should prioritise educational opportunities and resources, especially for rural areas, awareness campaigns on the benefits of medically indicated CS, and engagement with community and religious leaders to promote acceptance using culturally and religiously sensitive approaches. Other practical strategies include promoting optimal ANC contacts, expanding internet access and digital literacy, especially for rural women (e.g., through community Wi-Fi programs), improving healthcare infrastructure and accessibility in regions with low CS prevalence, particularly in the North-West, and implementing socioeconomic empowerment programs, especially for women in rural areas.

Prevalence of obstetric violence in high-income countries: A systematic review of mixed studies and meta-analysis of quantitative studies.

INTRODUCTION: Obstetric violence, or mistreatment of women in obstetric care, can have severe consequences such as fear of future childbirth, post-traumatic stress disorder, and depression. MATERIAL AND METHODS: The primary objective was to estimate the prevalence of obstetric violence in high-income countries. The secondary objective was to extract the main domains of obstetric violence perceived by women from qualitative studies. Following prospective registration (PROSPERO CRD42023468570), PubMed, Web of Science, Scopus, CINAHL, Embase, and Cochrane Library were searched with no restrictions. Included studies were cross-sectional, cohort, mixed methods, and qualitative studies based on populations from high-income countries. The review was conducted by two independent reviewers. Risk of bias was assessed. Rates of obstetric violence were pooled using random effects model, computing 95% confidence intervals (CI) and assessing heterogeneity using I2 statistic. Funnel plots and Egger's test were used to detect potential reporting biases and small-study effects. RESULTS: Of the 1821 records screened, 25 studies were included: 14 quantitative and 2 mixed methods studies, comprising 60 987 women, and 9 qualitative studies were included, comprising an additional 4356 women. 81.25% of quantitative studies, including the quantitative component of the mixed methods studies, were considered satisfactory or better regarding risk of bias. The prevalence of obstetric violence was overall 45.3% (95% CI 27.5-63.0; I2 = 100.0%). The prevalence of specific forms of mistreatment was also estimated. Lack of access to analgesia was 17.3% (95% CI 6.9-27.7; I2 = 99.7%). Ignored requests for help was 19.2% (95% CI 11.7-26.6; I2 = 99.0%). Shouting and scolding 19.7% (95% CI 13.0-26.4; I2 = 98.7%). The use of fundal pressure during the second stage of labor (Kristeller maneuver) was 30.3% (95% CI 22.1-38.5; I2 = 97.6%). There was no funnel asymmetry. Lack of information and/or consent were the most frequent domains extracted from the qualitative articles and the qualitative component of the mixed methods studies. CONCLUSIONS: The results demonstrate that obstetric violence is a prevalent problem that women in high-income countries experience. Lack of information and/or consent were the domains most frequently described in the qualitative studies and the qualitative component of the mixed methods studies.

Using the WHO individual near miss case review (NMCR) cycle to improve quality of emergency obstetric care and maternal outcome in Keren hospital, Eritrea: an interrupted time series analysis.

BACKGROUND: In 2016, the WHO regional office for Europe prepared a manual for conducting routine facility based individual near miss case review cycle. This study evaluates the effectiveness of the individual near miss case review (NMCR) cycle in improving quality of emergency obstetric care and maternal outcome in Keren hospital. METHODS: An interrupted time series design was used to achieve the objectives of this study. Monthly data on women with potentially life-threatening conditions (PLTCs) admitted between April 2018 and October 2022 (i.e. 33 months pre-implementation and 22 months post-implementation) were collected from medical records. Segmented regression analysis was used to assess the intervention's effect on three process and outcome measures, namely, SMO, delayed care, and substandard care. The intervention was expected a priori to show immediate improvements without time-lag followed by gradual increment in slope. Segmented regression analyses were performed using the "itsa' command in STATA. RESULTS: During the entire study period, 4365 women with potentially life threatening conditions were identified. There was a significant reduction in the post-implementation period in the proportion of mothers with PLTC who experienced SMO (- 8.86; p <  0.001), delayed care (- 8.76; p <  0.001) and substandard care (- 5.58; p <  0.001) compared to pre-implementation period. Results from the segmented regression analysis revealed that the percentage of women with SMO showed a significant 4.75% (95% CI: - 6.95 to - 2.54, p <  0.001) reduction in level followed by 0.28 percentage points monthly (95% CI: - 0.37 to - 0.14, p <  0.001) drop in trend. Similarly, a significant drop of 3.50% (95% CI: - 4.74 to - 2.26, p <  0.001) in the level of substandard care along with a significant decrease of 0.21 percentage points (95% CI: - 0.28 to - 0.14, p < 0.001) in the slope of the regression line was observed. The proportion of women who received delayed care also showed a significant 7% (95% CI: - 9.28 to - 4.68, p < 0.001) reduction in post-implementation level without significant change in slope. CONCLUSIONS: Our findings suggest that the WHO individual NMCR cycle was associated with substantial improvements in quality of emergency obstetric care and maternal outcome. The intervention also bears a great potential for scaling-up following the guidance provided in the WHO NMCR manual.

Facilitators and barriers of midwife-led model of care at public health institutions of dire Dawa city, Eastern Ethiopia, 2022: a qualitative study.

BACKGROUND: The midwife-led model of care is woman-centered and based on the premise that pregnancy and childbirth are normal life events, and the midwife plays a fundamental role in coordinating care for women and linking with other health care professionals as required. Worldwide, this model of care has made a great contribution to the reduction of maternal and child mortality. For example, the global under-5 mortality rate fell from 42 deaths per 1,000 live births in 2015 to 39 in 2018. The neonatal mortality rate fell from 31 deaths per 1,000 live births in 2000 to 18 deaths per 1,000 in 2018. Even if this model of care has a pivotal role in the reduction of maternal and newborn mortality, in recent years it has faced many challenges. OBJECTIVE: To explore facilitators and barriers to a midwife-led model of care at a public health institution in Dire Dawa, Eastern Ethiopia, in 2021. METHODOLOGY: A qualitative approach was conducted at Dire Dawa public health institution from March 1-April 30, 2022. Data was collected using a semi-structured, in-depth interview tool guide, focused group discussions, and key informant interviews. A convenience sampling method was implemented to select study participants, and the data were analyzed thematically using computer-assisted qualitative data analysis software Atlas.ti7. The thematic analysis with an inductive approach goes through six steps: familiarization, coding, generating themes, reviewing themes, defining and naming themes, and writing up. RESULT: Two major themes were driven from facilitators of the midwife-led model of care (professional pride and good team spirit), and seven major themes were driven from barriers to the midwife-led model of care (lack of professional development, shortage of resources, unfair risk or hazard payment, limited organizational power of midwives, feeling of demoralization absence of recognition from superiors, lack of work-related security). CONCLUSION: The midwifery-led model of care is facing considerable challenges, both pertaining to the management of the healthcare service locally and nationally. A multidisciplinary and collaborative effort is needed to solve those challenges.

Caesarean section on maternal request: a qualitative study of conflicts related to shared decision-making and person-centred care in Sweden.

BACKGROUND: Today, person-centred care is seen as a cornerstone of health policy and practice, but accommodating individual patient preferences can be challenging, for example involving caesarean section on maternal request (CSMR). The aim of this study was to explore Swedish health professionals' perspectives on CSMR and analyse them with regard to potential conflicts that may arise from person-centred care, specifically in relation to shared decision-making. METHODS: A qualitative study using both inductive and deductive content analysis was conducted based on semi-structured interviews. It was based on a purposeful sampling of 12 health professionals: seven obstetricians, three midwives and two neonatologists working at different hospitals in southern and central Sweden. The interviews were recorded either in a telephone call or in a video conference call, and audio files were deleted after transcription. RESULTS: In the interviews, twelve types of expressions (sub-categories) of five types of conflicts (categories) between shared decision-making and CSMR emerged. Most health professionals agreed in principle that women have the right to decide over their own body, but did not believe this included the right to choose surgery without medical indications (patient autonomy). The health professionals also expressed that they had to consider not only the woman's current preferences and health but also her future health, which could be negatively impacted by a CSMR (treatment quality and patient safety). Furthermore, the health professionals did not consider costs in the individual decision, but thought CSMR might lead to crowding-out effects (avoiding treatments that harm others). Although the health professionals emphasised that every CSMR request was addressed individually, they referred to different strategies for avoiding arbitrariness (equality and non-discrimination). Lastly, they described that CSMR entailed a multifaceted decision being individual yet collective, and the use of birth contracts in order to increase a woman's sense of security (an uncomplicated decision-making process). CONCLUSIONS: The complex landscape for handling CSMR in Sweden, arising from a restrictive approach centred on collective and standardised solutions alongside a simultaneous shift towards person-centred care and individual decision-making, was evident in the health professionals' reasoning. Although most health professionals emphasised that the mode of delivery is ultimately a professional decision, they still strived towards shared decision-making through information and support. Given the different views on CSMR, it is of utmost importance for healthcare professionals and women to reach a consensus on how to address this issue and to discuss what patient autonomy and shared decision-making mean in this specific context.

Person-centered care is today a widespread approach, but accommodating individual patient preferences can be challenging, for example involving caesarean section on maternal request (CSMR). This study examines Swedish health professionals' views on CSMR. Interviews with 12 health professionals reveal conflicts between CSMR and key aspects of person-centered care, in particular shared decision-making. While professionals acknowledge women's autonomy, they question CSMR without medical need. Concerns include for example treatment quality and patient safety, and avoiding treatments that harm others. The Swedish context, balancing collective solutions with individualized care, complicates decision-making. Unlike countries with more private healthcare, where CSMR support might be higher, Swedish health professionals emphasize shared decision-making despite viewing the mode of delivery as primarily a professional decision. This study sheds light on the challenges in integrating CSMR into person-centered care frameworks.

Artificial Intelligence-Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review.

BACKGROUND: Despite the emerging application of clinical decision support systems (CDSS) in pregnancy care and the proliferation of artificial intelligence (AI) over the last decade, it remains understudied regarding the role of AI in CDSS specialized for pregnancy care. OBJECTIVE: To identify and synthesize AI-augmented CDSS in pregnancy care, CDSS functionality, AI methodologies, and clinical implementation, we reported a systematic review based on empirical studies that examined AI-augmented CDSS in pregnancy care. METHODS: We retrieved studies that examined AI-augmented CDSS in pregnancy care using database queries involved with titles, abstracts, keywords, and MeSH (Medical Subject Headings) terms. Bibliographic records from their inception to 2022 were retrieved from PubMed/MEDLINE (n=206), Embase (n=101), and ACM Digital Library (n=377), followed by eligibility screening and literature review. The eligibility criteria include empirical studies that (1) developed or tested AI methods, (2) developed or tested CDSS or CDSS components, and (3) focused on pregnancy care. Data of studies used for review and appraisal include title, abstract, keywords, MeSH terms, full text, and supplements. Publications with ancillary information or overlapping outcomes were synthesized as one single study. Reviewers independently reviewed and assessed the quality of selected studies. RESULTS: We identified 30 distinct studies of 684 studies from their inception to 2022. Topics of clinical applications covered AI-augmented CDSS from prenatal, early pregnancy, obstetric care, and postpartum care. Topics of CDSS functions include diagnostic support, clinical prediction, therapeutics recommendation, and knowledge base. CONCLUSIONS: Our review acknowledged recent advances in CDSS studies including early diagnosis of prenatal abnormalities, cost-effective surveillance, prenatal ultrasound support, and ontology development. To recommend future directions, we also noted key gaps from existing studies, including (1) decision support in current childbirth deliveries without using observational data from consequential fetal or maternal outcomes in future pregnancies; (2) scarcity of studies in identifying several high-profile biases from CDSS, including social determinants of health highlighted by the American College of Obstetricians and Gynecologists; and (3) chasm between internally validated CDSS models, external validity, and clinical implementation.